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Internship Data Science R Jobs in Austin, TX (NOW HIRING)

The Services Data Science & Analytics organization is passionate about developing discerning ... R, SQL, Java, or C++Experience with cloud platforms, Spark, Docker, and MLOps tools and best ...

Bachelor's degree in mathematics/statistics, engineering, computer science, or other technical ... R, Python, Matlab) * Experience with ETL processes for manipulating data sets * Detail-oriented ...

The Services Data Science & Analytics organization is passionate about developing discerning ... R, SQL, Java, or C++ Experience with cloud platforms, Spark, Docker, and MLOps tools and best ...

The Services Data Science & Analytics organization is passionate about developing discerning ... R, SQL, Java, or C++ Experience with cloud platforms, Spark, Docker, and MLOps tools and best ...

Bachelor's degree in mathematics/statistics, engineering, computer science, or other technical ... R, Python, Matlab) * Experience with ETL processes for manipulating data sets * Detail-oriented ...

Data Analyst Senior

Austin, TX · On-site +1

$85K - $107K/yr

... language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ... R) Preferred Qualifications: * Master's or Ph.D. Degree in a quantitative field * Demonstrated ...

Write clean, maintainable R/Python code, setting a high bar for quality and adherence to best ... Experienced: 5+ years experience applying Data Science methods to production problems. We expect ...

Write clean, maintainable R/Python code, setting a high bar for quality and adherence to best ... Experienced: 5+ years experience applying Data Science methods to production problems. We expect ...

... major of actuarial science, mathematics, statistics, finance, economics, or data analytics ... Python, R, SQL, AIenabled tools, or other emerging technologies to support analysis and drive ...

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Internship Data Science R information

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How much do internship data science r jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship data science r in Austin, TX is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Internship at R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What are the key skills and qualifications needed to thrive as an Internship Data Science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
What are the most commonly searched types of Data Science R jobs in Austin, TX? The most popular types of Data Science R jobs in Austin, TX are:
What cities near Austin, TX are hiring for Internship Data Science R jobs? Cities near Austin, TX with the most Internship Data Science R job openings:
Senior Strategic Analytics and Data Science Manager

Senior Strategic Analytics and Data Science Manager

Tricentis

Austin, TX • On-site

Full-time

Posted 17 days ago


Job description

Position Overview
We are seeking a Strategic Analytics and Data Science Manager (GTM - Sales) to serve as an embedded analytical partner for our Sales organisation. This individual contributor role requires a blend of technical depth, Sales GTM domain knowledge, and the ability to translate complex, multi-system data into clear commercial decisions.
Reporting to the Senior Manager, Strategic GTM Analytics & Data Science, you will work closely with Sales leadership, Revenue Operations, and GTM Performance teams to ensure the analytical infrastructure, models, and insights driving Sales performance are accurate, governed, and commercially impactful.
Key Responsibilities
Sales GTM Analytics
  • Own the end-to-end Sales GTM reporting framework - pipeline health, bookings performance, win rates, coverage ratios, and quota attainment

  • Produce and maintain the weekly GTM report, including analytical commentary and forward-looking insight, reviewed by Sales and C-suite leadership

  • Build and maintain pipeline creation models translating bookings targets into actionable pipe creation requirements by region, segment, and team

  • Support the Analytics and Ops Forecast process with structured pipeline and coverage inputs

Target Setting and Data Infrastructure
  • Manage product x team target mapping, translating geo-level planning files into team-level allocations across deal type, product, and segment

  • Partner with Revenue Operations on Clari hierarchy maintenance, ensuring targets populate correctly at territory, region, and geo level

  • Maintain team mapping tables underpinning all regional reporting across Tableau and connected platforms

Data Integrity and SFDC Governance
  • Serve as the analytical partner for SFDC data quality - identifying, flagging, and resolving structural issues that affect reporting accuracy

  • Audit reporting for key data integrity gaps and ensure new SFDC fields are correctly represented in downstream Tableau reporting

  • Support partner attribution analysis in conjunction with Partner Operations

Stakeholder Partnership
  • Act as the primary analytical liaison between GTM Analytics, Sales leadership, and Revenue Operations

  • Participate in regional business reviews, presenting analysis directly

  • Translate complex, multi-system outputs into clear, actionable narratives for non-technical audiences

Required Qualifications
  • 6+ years in analytics roles with significant exposure to Sales analytics, Revenue Operations, or GTM analytics in a B2B SaaS environment

  • Bachelor's degree in Business, Statistics, Computer Science, Economics, or equivalent practical experience

  • Proven track record in high-growth SaaS environments, managing multiple stakeholder relationships and moving from tactical reporting to strategic insight

Technical Skills
  • Advanced SQL across multi-object schemas

  • Strong experience with BI platforms - Tableau, Power BI, Looker or equivalent

  • Expert-level Excel including advanced functions, pivot tables, and planning model work

  • Deep knowledge of Salesforce as a data source - object structure, opportunity data, and data quality patterns

  • Understanding of ETL processes and data integration concepts

Sales and GTM Domain Expertise
  • Deep understanding of B2B SaaS Sales metrics - pipeline coverage, waterfall models, bookings attainment, win rates, and quota allocation

  • Experience with target-setting processes at team, region, and product level

  • Familiarity with forecasting platforms such as Clari and understanding of Sales playbook execution

Core Competencies
  • Sales Acumen: Deep understanding of how Sales organizations operate and what signals matter at each stage of the quarter

  • Analytical Excellence: Ability to translate complex, multi-system data into commercially relevant insight

  • Data Governance Mindset: You build things others can trust, maintain, and build on

  • Communication: Present technical findings clearly to Sales leaders, Ops teams, and executive audiences

  • Operational Rigor: You ensure the underlying data is clean, targets are right, and the numbers add up

Preferred Qualifications
  • Experience with Clari or equivalent revenue forecasting platforms

  • Exposure to Python or R for modelling or automation

  • Experience covering multiple GTM functions (Sales + Marketing, or Sales + Renewals)

Tricentis is proud to be an equal opportunity workplace. Qualified applicants will receive consideration for employment without regard to race, color, ethnicity, gender, religious affiliation, age, sexual orientation, socioeconomic status, or physical and mental disability and other statuses protected by law.
Global Sanctions Compliance
We comply with all applicable global sanctions and export control laws. Candidates must not be listed on any government restricted party lists (including OFAC SDN List and U.S. Commerce Department restricted lists) and must certify that their employment would not violate any sanctions or export control regulations. Candidates must notify us of any changes to their status during the application process or subsequent employment.
U.S. Work Authorization:
This role is not eligible for employer-sponsored work visas. Applicants must be authorized to work in the U.S. without current or future sponsorship.